Recently, research dealing with large amounts of source code data has gained attention. Often, the source code data is collected ad hoc for the purpose of the research [1]}, [2]}, [3]}.
Several datasets have been released to aid research in source code comprehension, and avoid repeated crawling and processing of source code data. These datasets serve as benchmarks for different tasks that test the ability to understand code. Such datasets include:
ETH Py150 corpus [4]}, CodeNN [5]}, CodeSearchNet [6]} and CodeQA [7]}.
We compare these datasets with CS1QA in Table REF .
<TABLE>